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Pinned repositories
Repositories
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TextAttack
TextAttack
🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP -
FastSK
FastSK: Fast and Accurate Sequence Classification using Support Vector Machines
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deepWordBug
CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
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AdversarialDNN-Playground
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
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deep-learning-undergrad-reading-group
deep learning reading group for undergrads at UVA
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cifar10_web
Load CIFAR-10 from user-specified directory (default /home/USER/data/cifar10 or Windows equivalent). Automatically download to that directory the CIFAR-10 tar file if not present.
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deep2Read
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read about deep learning and related.
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DeepChrome
Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications
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DeepDiffChrome
"DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications", Bioinformatics, Volume 34, Issue 17,
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LaMP
Graph Neural Networks for Multi-Label Classification
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ChromeGCN
Graph Neural Networks for DNA Sequence Classification
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JointNets
JointNets: an end-to-end R package for sparse high-dimensional Gaussian graphical model estimation, visualization, simulation and evaluation.
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JEEK
ICML18: JEEK - Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
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DIFFEE
AISTAT2018: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
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DeepCloak
ICLR16: DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
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FASJEM
AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
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TransferStringKernel
Transfer String Kernel for Cross-Context String Classification
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Paper12-PlosOne-DeepProteinMultitaskTagging
Forked from DeepLearning4BioSeqText/Paper12-PlosOne-DeepProteinMultitaskTaggingA Deep-Learning based Multi-Task Framework for Protein Sequence Labeling / Local Structural Property Prediction on biological Sequences
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AttentiveChrome
NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin
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DeepMotif
Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications
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EvadeML-Zoo
Forked from mzweilin/EvadeML-ZooBenchmarking and Visualization Tool for Adversarial Machine Learning
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FeatureSqueezing
NDSS18: Detecting Adversarial Examples in Deep Neural Networks
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EvadeML
Forked from uvasrg/EvadeMLAn evolutionary framework for evading machine learning-based malware classifiers.
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Paper12-NIPS-SparseGGM4LatentFactors
Forked from DeepLearning4BioSeqText/Paper12-NIPS-SparseGGM4LatentFactorsCode for Learning Dependency Graph between Latent Factors from Data
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